SubsetDataByContinuousCol: Subset data by two bounds on a continuous column

In yhhc2/machinelearnr: Package with various functions for preprocessing, clustering, and classification

Description

Example. If you want to only keep the bottom 25% and top 75% of data, then the lower.bound.percent will be 0.25 and the upper.bound.percent will be 0.75.

Usage

SubsetDataByContinuousCol(
  inputted.data,
  col.name.to.subset.on,
  lower.bound.percent,
  upper.bound.percent
)

Arguments

inputted.data	A dataframe.
col.name.to.subset.on	Name of column with continuous data for subsetting.
lower.bound.percent	A numeric value from 0 to 1 that specifies the first bound.
upper.bound.percent	A numeric value from 0 to 1 that specifies the second bound.

Value

A subsetted dataframe.

See Also

Other Preprocessing functions: AddColBinnedToBinary(), AddColBinnedToQuartiles(), AddPCsToEnd(), ConvertDataToPercentiles(), CorAssoTestMultipleWithErrorHandling(), DownSampleDataframe(), GenerateElbowPlotPCA(), GeneratePC1andPC2PlotsWithAndWithoutOutliers(), Log2TargetDensityPlotComparison(), LookAtPCFeatureLoadings(), MultipleColumnsNormalCheckThenBoxCox(), NormalCheckThenBoxCoxTransform(), RanomlySelectOneRowForEach(), RecodeIdentifier(), RemoveColWithAllZeros(), RemoveRowsBasedOnCol(), RemoveSamplesWithInstability(), SplitIntoTrainTest(), StabilityTestingAcrossVisits(), TwoSampleTTest(), ZScoreChallengeOutliers(), captureSessionInfo(), correlation.association.test(), describeNumericalColumnsWithLevels(), describeNumericalColumns(), generate.descriptive.plots.save.pdf(), generate.descriptive.plots()

yhhc2/machinelearnr documentation built on Dec. 23, 2021, 7:19 p.m.